Combination of Pareto Optimal Front with Deep Neural Networks in Optimizing and Enhancing Performance of RF Designs

Tercüme edilen katkı başlığı: RF Tasarimlarinin Performansini Optimize Etmek ve Artirmak Için Pareto Optimal ve Derin Sinir Aǧlari ile Birleştirilmesi

Lida Kouhalvandi, Ladislau Matekovits, Serdar Ozoguz

Araştırma sonucu: ???type-name???Konferans katkısıbilirkişi

Özet

This paper focuses on the implementation of Pareto optimal front (POF) with deep neural networks (DNNs) for optimizing and integrating of radio frequency (RF) designs. POF typically generates the set of optimal tradeoffs while the DNNs employ the automated environment for estimating the targeted specifications. Hence combination of these two tools provides a strong optimization environment for the high-dimensional RF designs. This work illustrates the importance of this combination and explains the general procedure for optimizing RF active devices (such as amplifiers) and RF passive devices (such as antennas). The optimization method that is based on the POF idea is selected as the Thompson sampling efficient multiobjective optimization (TSEMO) algorithm and the DNN is elected to be constructed by the long short term memory (LSTM) layers. Here two separate configurations are considered: the optimized amplifier is operating in the frequency band from 1.7 GHz to 2.2 GHz. Additionally, the antenna design is operated in the frequency band from 3.1 GHz to 10.6 GHz for proving the importance of POF method where DNN is employed to enhance the overall performance of the RF designs.

Tercüme edilen katkı başlığıRF Tasarimlarinin Performansini Optimize Etmek ve Artirmak Için Pareto Optimal ve Derin Sinir Aǧlari ile Birleştirilmesi
Orijinal dilİngilizce
Ana bilgisayar yayını başlığı31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)9798350343557
DOI'lar
Yayın durumuYayınlandı - 2023
Etkinlik31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023 - Istanbul, Turkey
Süre: 5 Tem 20238 Tem 2023

Yayın serisi

Adı31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023
Ülke/BölgeTurkey
ŞehirIstanbul
Periyot5/07/238/07/23

Bibliyografik not

Publisher Copyright:
© 2023 IEEE.

Parmak izi

RF Tasarimlarinin Performansini Optimize Etmek ve Artirmak Için Pareto Optimal ve Derin Sinir Aǧlari ile Birleştirilmesi' araştırma başlıklarına git. Birlikte benzersiz bir parmak izi oluştururlar.

Alıntı Yap